Artificial intelligence is the hot new thing in enterprise. A whopping 80 percent of businesses have some form of machine learning in production today, according to a study commissioned by Teradata, and fully 21 percent have ongoing AI pilot projects.

But what about the businesses starting at the ground floor? Those without AI expertise might turn to, a three-year-old Silicon Valley-based startup providing tools that help customers develop AI solutions.

“We’re the AI that helps create AI,” CEO Yiwen Huang told VentureBeat in an interview. “Our goal is to make data accessible for all [and to] drive mass adoption across different industries.”

Its flagship product is R2 Learn, which Huang compares to Google’s AutoML: a suite of machine learning services that enable developers to train high-quality models. Unlike AutoML, though, which takes a deep learning approach to AI, R2’s bread and butter is predictive analytics.

R2 offers both cloud-hosted, software-as-a-service products and on-premise products, and its API allows customers to deploy trained models with a minimal amount of code.

“The applications of AI are limitless,” Huang said. “Our goal is to enable humans to do more of the fulfilling and high-value work they love and less of the tedious tasks that consume their time and resources.”

R2’s clients kick things off by defining the problem, or problems, they hope to solve with AI. Next, they collate the relevant data — with the help of R2’s team, if necessary — and upload it to the R2 Learn cloud platform, after which it’s inspected and preprocessed to…